Population Vulnerability and Disability in Kenya's Tsetse Fly Habitats
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{"title"=>"Population vulnerability and disability in Kenya's tsetse fly habitats", "type"=>"journal", "authors"=>[{"first_name"=>"Sue C.", "last_name"=>"Grady", "scopus_author_id"=>"15048060000"}, {"first_name"=>"Joseph P.", "last_name"=>"Messina", "scopus_author_id"=>"7005126983"}, {"first_name"=>"Paul F.", "last_name"=>"McCord", "scopus_author_id"=>"37067645600"}], "year"=>2011, "source"=>"PLoS Neglected Tropical Diseases", "identifiers"=>{"scopus"=>"2-s2.0-79952513448", "doi"=>"10.1371/journal.pntd.0000957", "sgr"=>"79952513448", "isbn"=>"1935-2735", "pmid"=>"21347453", "issn"=>"1935-2735", "pui"=>"361413067"}, "id"=>"74390890-66f8-386d-95ff-4f785961447b", "abstract"=>"Human African Trypanosomiasis (HAT), also referred to as sleeping sickness, and African Animal Trypanosomaisis (AAT), known as nagana, are highly prevalent parasitic vector-borne diseases in sub-Saharan Africa. Humans acquire trypanosomiasis following the bite of a tsetse fly infected with the protozoa Trypanosoma brucei (T.b.) spp. -i.e., T.b. gambiense in West and Central Africa and T.b. rhodesiense in East and Southern Africa. Over the last decade HAT diagnostic capacity to estimate HAT prevalence has improved in active case-finding areas but enhanced passive surveillance programs are still lacking in much of rural sub-Saharan Africa.", "link"=>"http://www.mendeley.com/research/population-vulnerability-disability-kenyas-tsetse-fly-habitats", "reader_count"=>53, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Student > Doctoral Student"=>2, "Researcher"=>7, "Student > Ph. D. Student"=>10, "Student > Master"=>16, "Other"=>5, "Student > Bachelor"=>1, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>6}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Student > Doctoral Student"=>2, "Researcher"=>7, "Student > Ph. D. Student"=>10, "Student > Master"=>16, "Other"=>5, "Student > Bachelor"=>1, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>6}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Environmental Science"=>3, "Biochemistry, Genetics and Molecular Biology"=>2, "Nursing and Health Professions"=>1, "Mathematics"=>2, "Agricultural and Biological Sciences"=>22, "Medicine and Dentistry"=>9, "Veterinary Science and Veterinary Medicine"=>2, "Chemistry"=>1, "Social Sciences"=>5, "Immunology and Microbiology"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>5}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>22}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>4}, "Environmental Science"=>{"Environmental Science"=>3}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>2}}, "reader_count_by_country"=>{"United States"=>1, "Senegal"=>1, "Sudan"=>1, "Uganda"=>1, "United Kingdom"=>1, "Kenya"=>1, "India"=>1}, "group_count"=>3}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/800129"], "description"=>"(1)<p>Residents are those living in same tsetse belt, district or Nairobi longer than 1 year; migrants are those living in tsetse belt, district or Nairobi less than 1 year; all residents and migrants are ages 15 to 64 years.</p><p>Source: Kenya National Bureau of Statistics; Minnesota Population Center. <i>Integrated Public Use Microdata Series-International: Version 5.0</i>. Minneapolis: University of Minnesota, 2009.</p>", "links"=>[], "tags"=>["holdings", "tsetse", "kenya"], "article_id"=>470496, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.t001", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Residents_and_migrants_1_working_in_agriculture_on_family_holdings_within_and_outside_tsetse_belts_Kenya_1999_/470496", "title"=>"Residents and migrants<sup>(1)</sup> working in agriculture on family holdings within and outside tsetse belts, Kenya 1999.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-08 00:08:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/800099"], "description"=>"(1)<p>Levels 1 and 2 variables (sex and water) are modelled group centered;</p><p>Level 3 variables are modelled as natural metric.</p>", "links"=>[], "tags"=>["residents", "tsetse", "kenya", "1999", "estimating", "indirect"], "article_id"=>470464, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.t006", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multilevel_model_of_disability_in_residents_by_tsetse_habitat_and_poverty_1_Kenya_1999_model_estimating_potential_indirect_exposures_/470464", "title"=>"Multilevel model of disability in residents by tsetse habitat and poverty<sup>(1)</sup>, Kenya 1999 (model estimating potential indirect exposures).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-08 00:07:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/800192"], "description"=>"<p>Source: Kenya National Bureau of Statistics; Minnesota Population Center. <i>Integrated Public Use Microdata Series-International: Version 5.0</i>. Minneapolis: University of Minnesota, 2009.</p>", "links"=>[], "tags"=>["characteristics", "tsetse", "kenya"], "article_id"=>470562, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.t002", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Household_characteristics_within_and_outside_tsetse_belts_Kenya_1999_/470562", "title"=>"Household characteristics within and outside tsetse belts, Kenya 1999.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-08 00:09:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/800032"], "description"=>"(1)<p>Levels 1 and 2 variables (sex and water) are modelled group centered;</p><p>Level 3 variables are modelled as natural metric.</p><p>(Model Estimating Potential Direct Exposures).</p>", "links"=>[], "tags"=>["residents", "tsetse", "kenya"], "article_id"=>470403, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.t005", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multilevel_model_of_disability_in_residents_by_tsetse_habitat_1_Kenya_1999_/470403", "title"=>"Multilevel model of disability in residents by tsetse habitat<sup>(1)</sup>, Kenya 1999.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-08 00:06:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/799939"], "description"=>"<p>Data Source: International Livestock Research Institute, Kenya 1999.</p>", "links"=>[], "tags"=>["tsetse"], "article_id"=>470309, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.g004", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percent_of_population_living_in_poverty_and_tsetse_habitats_Kenya_1999_/470309", "title"=>"Percent of population living in poverty and tsetse habitats, Kenya, 1999.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-02-08 00:05:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/799688"], "description"=>"<p><sup>1</sup>Adapted from the World Health Organization, 2006.</p>", "links"=>[], "tags"=>["sleeping", "sickness"], "article_id"=>470063, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Conceptual_model_1_of_T_b_rhodesiense_sleeping_sickness_transmission_cycle_/470063", "title"=>"Conceptual model<sup>1</sup> of <i>T.b. rhodesiense</i> sleeping sickness transmission cycle.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-02-08 00:01:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/799837"], "description"=>"<p>Data Source: World Health Organization, 2007.</p>", "links"=>[], "tags"=>["districts", "kenya"], "article_id"=>470211, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.g003", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Tsetse_belt_Zone_6_districts_of_HAT_cases_Kenya_1999_/470211", "title"=>"Tsetse belt (Zone 6) districts of HAT cases, Kenya 1999.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-02-08 00:03:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/800157"], "description"=>"(1)<p>Residents are males and females 15-64 years living in same tsetse belt, district or Nairobi longer than 1 year.</p>(2)<p>Includes residents who report “Unable to work, disabled” per 1,000 population 15-64 years at risk.</p><p>Source: Kenya National Bureau of Statistics; Minnesota Population Center. <i>Integrated Public Use Microdata Series-International: Version 5.0</i>. Minneapolis: University of Minnesota, 2009.</p>", "links"=>[], "tags"=>["rates", "tsetse", "kenya"], "article_id"=>470526, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.t003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_rates_of_disability_for_male_and_female_residents_1_living_within_and_outside_tsetse_belts_Kenya_1999_/470526", "title"=>"Prevalence rates of disability for male and female residents<sup>(1)</sup> living within and outside tsetse belts, Kenya 1999.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-08 00:08:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/400161"], "description"=>"<div><h3>Background</h3><p>Human African Trypanosomiasis (HAT), also referred to as sleeping sickness, and African Animal Trypanosomaisis (AAT), known as nagana, are highly prevalent parasitic vector-borne diseases in sub-Saharan Africa. Humans acquire trypanosomiasis following the bite of a tsetse fly infected with the protozoa <em>Trypanosoma brucei (T.b.) spp.</em> –i.e., <em>T.b. gambiense</em> in West and Central Africa and <em>T.b. rhodesiense</em> in East and Southern Africa. Over the last decade HAT diagnostic capacity to estimate HAT prevalence has improved in active case-finding areas but enhanced passive surveillance programs are still lacking in much of rural sub-Saharan Africa.</p><h3>Methodology/Principal Findings</h3><p>This retrospective-cross-sectional study examined the use of national census data (1999) to estimate population vulnerability and disability in Kenya's 7 tsetse belts to assess the potential of HAT-acquired infection in those areas. A multilevel study design estimated the likelihood of disability in individuals, nested within households, nested within tsetse fly habitats of varying levels of poverty. Residents and recent migrants of working age were studied. Tsetse fly's impact on disability was conceptualised via two exposure pathways: directly from the bite of a pathogenic tsetse fly resulting in HAT infection or indirectly, as the potential for AAT takes land out of agricultural production and diseased livestock leads to livestock morbidity and mortality, contributing to nutritional deficiencies and poverty. Tsetse belts that were significantly associated with increased disability prevalence were identified and the direct and indirect exposure pathways were evaluated.</p><h3>Conclusions/Significance</h3><p>Incorporating reports on disability from the national census is a promising surveillance tool that may enhance future HAT surveillance programs in sub-Saharan Africa. The combined burdens of HAT and AAT and the opportunity costs of agricultural production in AAT areas are likely contributors to disability within tsetse-infested areas. Future research will assess changes in the spatial relationships between high tsetse infestation and human disability following the release of the Kenya 2009 census at the local level.</p></div>", "links"=>[], "tags"=>["vulnerability", "tsetse", "habitats"], "article_id"=>139031, "categories"=>["Biological Sciences", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Population_Vulnerability_and_Disability_in_Kenya_s_Tsetse_Fly_Habitats/139031", "title"=>"Population Vulnerability and Disability in Kenya's Tsetse Fly Habitats", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-08 02:30:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/800058"], "description"=>"(1)<p>Migrants are males and females 15-64 years living in tsetse belts, districts or Nairobi less than 1 year.</p>(2)<p>Includes migrants who report “Unable to work, disabled” per 1,000 population 15-64 years at risk.</p><p>Source: Kenya National Bureau of Statistics; Minnesota Population Center. <i>Integrated Public Use Microdata Series-International: Version 5.0</i>. Minneapolis: University of Minnesota, 2009.</p>", "links"=>[], "tags"=>["rates", "tsetse", "kenya"], "article_id"=>470430, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.t004", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_rates_of_disability_for_male_and_female_migrants_1_living_within_and_outside_tsetse_belts_Kenya_1999_/470430", "title"=>"Prevalence rates of disability for male and female migrants<sup>(1)</sup> living within and outside tsetse belts, Kenya 1999.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-02-08 00:07:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/799747"], "description"=>"<p>Data Source: International Livestock Research Institute, Kenya 2009.</p>", "links"=>[], "tags"=>["habitats"], "article_id"=>470117, "categories"=>["Computational Biology", "Cancer", "Physics", "Ecology", "Medicine"], "users"=>["Sue C. Grady", "Joseph P. Messina", "Paul F. McCord"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000957.g002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Tsetse_habitats_Zones_1_7_and_Glossina_spp_Kenya_1999_/470117", "title"=>"Tsetse habitats (Zones 1–7) and <i>Glossina spp.</i>, Kenya, 1999.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-02-08 00:01:57"}

PMC Usage Stats | Further Information

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Relative Metric

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